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Table 3 Multinomial logistic regression for lifestyle clusters (N = 1870)

From: Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

 

Model 1*

 

Model 2*

 

RRR

95% CI

p-value

 

RRR

95% CI

p-value

Logit 1. Moderately healthy vs. Healthy (base outcome)

    

Sex

   

Sex

   

Women

1.00

  

Women

1.00

  

Men

1.15

(0.91, 1.44)

0.238

Men

1.14

(0.91, 1.43)

0.264

   Age

   

   Age

   

18-29 years

1.00

  

18-39 years

1.00

  

30-39 years

1.02

(0.73, 1.41)

0.927

40-49 years

0.83

(0.63, 1.09)

0.184

40-49 years

0.82

(0.58, 1.16)

0.262

50-64 years

0.56

(0.42, 0.74)

<0.001

50-64 years

0.55

(0.39, 0.79)

0.001

    

   Education

   

   Education

   

College/university or post-graduate degree

1.00

  

College/university or post-graduate degree/Senior high school

1.00

  

Senior high school

1.10

(0.83, 1.46)

0.510

Junior high school or below

1.16

(0.87, 1.56)

0.311

Junior high school or below

1.22

(0.89, 1.69)

0.223

    

   Asset index

   

Asset index

   

Low

1.00

  

Low/Medium

1.00

  

Medium

1.06

(0.83, 1.35)

0.662

High

1.51

(1.15, 1.97)

0.003

High

1.57

(1.16, 2.12)

0.004

    

Logit 2. Unhealthy vs. Healthy (base outcome)

    

   Sex

   

   Sex

   

Women

1.00

  

Women

1.00

  

Men

11.69

(8.68, 15.73)

<0.001

Men

11.41

(8.49, 15.34)

<0.001

   Age

   

   Age

   

18-29 years

1.00

  

18-39 years

1.00

  

30-39 years

0.97

(0.64, 1.48)

0.903

40-49 years

1.35

(0.99, 1.85)

0.061

40-49 years

1.24

(0.83, 1.87)

0.297

50-64 years

0.57

(0.41, 0.80)

0.001

50-64 years

0.53

(0.35, 0.82)

0.004

    

   Education

   

   Education

   

College/university or post-graduate degree

1.00

  

College/university or post-graduate degree/Senior high school

1.00

  

Senior high school

1.38

(0.99, 1.92)

0.056

Junior high school or below

2.15

(1.55, 2.99)

<0.001

Junior high school or below

2.50

(1.74, 3.59)

<0.001

    

   Asset index

   

   Asset index

   

Low

1.00

  

Low/Medium

1.00

  

Medium

1.09

(0.82, 1.44)

0.575

High

1.30

(0.94, 1.80)

0.110

High

1.43

(0.99, 2.05)

0.056

    

Logit 3. Unhealthy vs. Moderately healthy (base outcome)

    

   Sex

   

   Sex

   

Women

1.00

  

Women

1.00

  

Men

10.19

(7.49, 13.87)

<0.001

Men

10.03

(7.38, 13.63)

<0.001

   Age

   

   Age

   

18-29 years

1.00

  

18-39 years

1.00

  

30-39 years

0.96

(0.63, 1.47)

0.848

40-49 years

1.63

(1.18, 2.26)

0.003

40-49 years

1.52

(1.00, 2.31)

0.052

50-64 years

1.03

(0.72, 1.47)

0.884

50-64 years

0.96

(0.61, 1.51)

0.870

    

   Education

   

   Education

   

College/university or post-graduate degree

1.00

  

College/university or post-graduate degree/Senior high school

1.00

  

Senior high school

1.25

(0.89, 1.77)

0.199

Junior high school or below

1.85

(1.30, 2.63)

0.001

Junior high school or below

2.04

(1.39, 3.00)

<0.001

    

   Asset index

   

   Asset index

   

Low

1.00

  

Low/Medium

1.00

  

Medium

1.03

(0.76, 1.39)

0.862

High

0.86

(0.62, 1.20)

0.378

High

0.91

(0.63, 1.32)

0.623

    
  1. * Model 1 was a three-category logistic regression model and did three comparisons: MH vs. H, UH vs. H, and UH vs. MH. Four independent variables were fitted in the model, including sex, age, education, and asset index. Model 2 was a simplified version of model 1 in which some categories of independent variables were merged.